This project analyzes voter data from the 2023 Toronto Mayoral By-Election, focusing on the distribution of votes across Toronto's 25 wards. The goal is to understand how different regions within the city favored the major candidates, including Olivia Chow and Ana Bailão, the former becoming the Mayor of Toronto.
The repo is structured as:
data/raw_data contains the raw data as obtained from opendatatoronto.other contains details about LLM chat interactions and sketches.paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper. scripts contains the R scripts used to simulate, download and clean data.The ideas for which demographic factors may influence voting patterns were determined with the help of ChatGPT. This was used to help me narrow down where in the regional census data I should examine. The prompt can be found in other/llm/usage.txt.